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Teaching GuideTerm Faculty of Computer Science |
| Grao en Ciencia e Enxeñaría de Datos |
 Subjects |
| Regression Models |
| Planning |
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| Identifying Data | 2022/23 | |||||||||||||
| Subject | Regression Models | Code | 614G02012 | |||||||||||
| Study programme |
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| Descriptors | Cycle | Period | Year | Type | Credits | |||||||||
| Graduate | 1st four-month period |
Second | Obligatory | 6 | ||||||||||
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| Methodologies / tests | Competencies | Ordinary class hours | Student’s personal work hours | Total hours |
| Guest lecture / keynote speech | A17 A18 B3 B8 B9 B10 | 30 | 30 | 60 |
| ICT practicals | A17 A18 A20 B2 B3 B8 B9 C1 | 20 | 20 | 40 |
| Seminar | A18 A20 B2 B3 B8 C1 | 10 | 10 | 20 |
| Problem solving | A17 A18 A20 B2 B7 B9 C1 | 0 | 20 | 20 |
| Objective test | A17 A18 A20 B2 B9 C1 | 6 | 0 | 6 |
| Personalized attention | 4 | 0 | 4 | |
| (*)The information in the planning table is for guidance only and does not take into account the heterogeneity of the students. | ||||
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